View clinical trials related to Infections.
Filter by:Cardiac Intensive Care Units (CICUs) provide care for a diverse patient population. Understanding the clinical characteristics, analysis of treatment modalities, and prognosis of patients hospitalized in the CICU are important to improve cardiovascular care. The purpose of this registry is to determine the demographics, clinical, treatment, and prognosis of patients hospitalized in the Polish CICUs. Data from this multicenter, prospective observational study will provide more robust data to facilitate quantitative characterization of cardiac care in contemporary Polish CICUs and enable the development of infrastructure for clinical trials in CICUs.
This study is designed to assess the comparative clinical utility of the point of care cobas® liat CT/NG/MG to current standard practices in the diagnosis and treatment of urogenital infections with Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG), and Mycoplasma genitalium (MG).
Single center, no profit experimental study on sera available in the Tropica Biobank.
The objective of this study is to evaluate the performance, usability, and result interpretation of the INSTI® HIV Self-Test (referred to INSTI® HIV ST) in the intended use population across the United States (US). The INSTI® HIV Self-Test is a single use in vitro test that is used as a self-test for the detection of antibodies to HIV-1 and HIV-2 in human fingerstick blood. This study is designed to evaluate INSTI® HIV ST performance in the hands of non-professionals and untrained lay users who are inexperienced in HIV blood-based self-testing. The study aims to: To evaluate the clinical performance (i.e., diagnostic sensitivity and specificity) of the INSTI® HIV Self-Test in a lay user population. To assess the user's comprehension of the INSTI® HIV ST results (e.g., interpreting positive, negative, and invalid results). To evaluate the usability of the INSTI® HIV ST and understand users' experience in performing the test.
PHAGEFORCE is a prospective, observational registry study. The University Hospitals Leuven has approved the application of phage therapy as standard-of-care only in patients for whom no curative treatment alternatives (antibiotic and/or surgical) are available ('last-resort cases'). A multidisciplinary phage task force, referred to as the Coordination group for Bacteriophage therapy Leuven (CBL) was set up. The CBL screens patients with difficult-to-treat infections, evaluates who could benefit from phage therapy and sets up the treatment protocol. With this study, the CBL aims to gain insight in the safety and efficacy of phage therapy by integrating and optimizing phage therapy in five distinct medical disciplines (with distinct routes of administration), facilitating long-term follow-up of patients. Furthermore, this study will gain insight in the biodistribution and exact mechanisms of action of phage therapy and thus be able to provide standardized guidelines for each patient population and route of administration.
The purpose of this study is to determine the incidence of surgical site infection (SSIs) after third molar surgery for different duration of intravenous ampicillin administration.
A randomized, double-blind, placebo-controlled, pilot clinical study to assess the effect of Doctor's Biome Medical Food (DBMF) in individuals with Clostridium difficile infection (CDI)
The aim of this multicenter randomized clinical trial is to compare the tunneling technique of PICC insertion with the non-tunneled insertion technique in the incidence of the combined or isolated outcome of catheter-related bloodstream primary infection, thrombosis, obstruction, and accidental dislodgement in the adult population within a period of up to 30 days.
The aim of this study is to search and compare outcomes of through knee amputation (TKA) and above knee amputation (AKA) in terms of Technique ,wound healing ,infection rate , function and ambulation
The goal of this observational study is to develop a machine learning algorithm for early detection of infections in kidney transplant recipients using data recorded by wearable digital health technologies. The main questions it aims to answer are: 1. What are the biometric data pattern changes in impending infections? 2. What accuracy the machine learning algorithm can achieve? Participants will be given/use their own wearable device that will record biometric data. Any infection event will be recorded and an algorithm will be trained to recognize changes in biometric data preceding symptomatic infection.